One-click install
npx skills add https://github.com/naopensedoit2-design/Claramente-nao-sou-um-Escritor --skill file-converter-naopensedoit2-design
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: file-converter
Source: https://github.com/naopensedoit2-design/Claramente-nao-sou-um-Escritor/tree/main/.local/secondary_skills/file-converter
Command: npx skills add https://github.com/naopensedoit2-design/Claramente-nao-sou-um-Escritor --skill file-converter-naopensedoit2-design

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the repetitive, error-prone work of manually converting files between common data, document, and image formats so you can move content where it’s needed.

Core Features & Use Cases

  • Data conversions (CSV/JSON/YAML/XML/Excel/Parquet): Transform tabular data and nested structures across formats for analysis, import/export, and ETL-style workflows (including CSV delimiter/encoding handling and JSON flattening for CSV).
  • Document conversions (Pandoc-based): Convert between many document formats, with practical examples like Markdown ↔ PDF/DOCX and HTML ↔ Markdown.
  • Image conversions and PDF utilities: Convert between image formats using Pillow/CairoSVG and handle PDF tasks like text/table extraction and PDF-to-image rendering.

Quick Start

Convert your input file to the target format using the recommended toolchain in the Skill instructions, for example converting Markdown to PDF with Pandoc.

Frequently Asked Questions about file-converter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert a CSV file to JSON format for data processing?

To convert CSV to JSON, this Skill transforms tabular data into nested structures using pandas, handling CSV delimiters and encodings while flattening JSON for CSV exports to ensure reliable data transformation.

Can I use Pandoc to convert Markdown to PDF and DOCX?

Yes, you can convert Markdown to PDF and DOCX using Pandoc-based document conversions, which support broad transformations between Markdown, HTML, PDF, and Office document formats for publishing workflows.

What is the best way to extract text and tables from a PDF?

The best way to extract text and tables from PDFs is using format-appropriate libraries like pdfplumber and pypdf, which parse document content for downstream data analysis and processing workflows.

Does this tool support converting images between different formats?

Yes, image conversion is supported using Pillow and CairoSVG, allowing reliable transformations across common image types, including SVG rendering, for integration into downstream processing and publishing pipelines.

Do I need to install PyYAML and xmltodict to convert XML to YAML?

Yes, converting XML to YAML requires pandas, PyYAML, and xmltodict to accurately map nested structures across data formats, ensuring reliable transformations for ETL-style workflows.

Why does my batch file conversion fail on large Office documents?

Batch file conversions on large Office documents may fail due to missing optional Pandoc dependencies or format-specific library limitations, requiring appropriate libraries to ensure reliable transformations.